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dc.contributor.authorSteinberga, Iveta
dc.contributor.authorSustere, Liene
dc.contributor.authorBikse, Janis
dc.contributor.authorBikse, Janis Jr.
dc.contributor.authorKleperis, Janis
dc.date.accessioned2020-08-26T10:37:22Z
dc.date.available2020-08-26T10:37:22Z
dc.date.issued2019
dc.identifier.issn1877-0509
dc.identifier.urihttps://dspace.lu.lv/dspace/handle/7/52475
dc.descriptionThis study was supported by the Riga City research project DMV-17-60-lī-03.02.2017. The authors wish to thank the Riga City Council and Latvian Environment, Geology and Meteorology Centre for data used in this study.en_US
dc.description.abstractMathematical models are intensively used in environmental science for various reasons - status quo assessment, statistical modeling, forecasting, and planning, scenario analysis. Traffic flow and related atmospheric pollution modeling is one of the most complex challenges because of various aspects, - wide versa of affecting factors, daily, diurnal, weekly, monthly and yearly variability and non-stability of them. In the present study atmospheric model OSPM (Operational Street Pollution Model) is used to calculate NOx and PM10 concentration levels in the historical center (street canyon) of the city of Riga (Latvia) in order to make further assumptions (e.g., for the traffic load) for minimizing traffic induced air pollution in street canyons. In total five different scenarios were analyzed involving prioritizations of public transport, restrictions for old private cars or flow limitations in traffic jam situations during working days.en_US
dc.description.sponsorshipInstitute of Solid State Physics, University of Latvia as the Center of Excellence has received funding from the European Union’s Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART²en_US
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/739508/EU/Centre of Advanced Material Research and Technology Transfer/CAMART²en_US
dc.relation.ispartofseriesProcedia Computer Science;149
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAir quality modellingen_US
dc.subjectAir quality planningen_US
dc.subjectOSPMen_US
dc.subjectTrafficen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES:Physicsen_US
dc.titleTraffic induced air pollution modeling: Scenario analysis for air quality management in street canyonen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.procs.2019.01.152


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